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Director, Data Science & Machine Learning

LendingClub

Director, Data Science & Machine Learning

LendingClub

San Francisco, CA

·

On-site

·

Full-time

·

2w ago

Compensation

$210,000 - $245,000

Benefits & Perks

Healthcare

401(k)

Equity

Flexible Hours

Parental Leave

Learning Budget

Healthcare

401k

Equity

Flexible Hours

Parental Leave

Learning

Required Skills

Machine Learning

Data Science

Python

Supervised Learning

Unsupervised Learning

Model Governance

Team Management

Current Employees of Lending Club: Please apply via your internal Workday Account

Lending Club Corporation (NYSE: LC) is the parent company of Lending Club Bank, National Association, Member FDIC. We are the leading digital marketplace bank in the U.S., having helped our nearly 5 million members secure over $90 billion in loans to refinance high-cost debt and achieve their financial goals. Members today have mobile-first access to a growing range of products and services designed to work seamlessly together to deliver value in new ways. Everyone deserves a better financial future, and our team is committed to making that a reality. Join the Club!

About the Role

Lending Club’s Risk and Decision Science organization is looking for a Director, Data Science & Machine Learning to lead the development and implementation of advanced machine learning and statistical solutions across our lending and deposit products. You will manage a team of experienced data scientists, working across key domains like credit underwriting, loan pricing, fraud detection, and marketing targeting.

You will play a central role in delivering scalable, interpretable, and compliant models that drive Lending Club’s business performance while collaborating closely with partners across Risk, Technology, Marketing, and Compliance.

What You'll Do

  • Lead the end-to-end development, deployment, and performance monitoring of machine learning and statistical models used in credit, fraud, marketing, pricing, and operational decisioning
  • Manage and mentor a team of data scientists and machine learning experts to deliver best-in-class modeling capabilities
  • Partner with stakeholders across Credit Strategy, Marketing, Risk, Engineering, Model Risk Management, and Compliance to align solutions with business objectives and regulatory standards
  • Apply advanced techniques such as gradient boosting, deep learning, and ensemble modeling to improve prediction accuracy and operational efficiency
  • Contribute to the design and evolution of Lending Club’s ML infrastructure and tooling for scalable experimentation and deployment
  • Identify and integrate new data sources to enhance model performance and business impact
  • Ensure rigorous documentation, governance, and model validation in accordance with financial services regulatory requirements
  • Communicate complex technical concepts clearly and effectively to business leaders, senior executives, and oversight functions

About You

  • 10 years of experience in machine learning, data science, or credit risk analytics, preferably in consumer lending or financial services
  • 5 years of experience managing high-performing teams in applied machine learning or predictive analytics
  • You are an experienced and technically adept leader in machine learning and data science, with a passion for driving innovation and solving real-world financial challenges through data
  • Strong technical expertise in supervised and unsupervised learning techniques (e.g., logistic regression, decision trees, GBMs, neural networks)
  • Proficient in Python and key ML libraries (e.g., Scikit-learn, XGBoost, Tensor Flow, Py Torch, Pandas, Num Py)
  • Deep understanding of end-to-end model lifecycle management, from development through monitoring and retraining
  • Familiarity with model governance practices and regulatory frameworks (e.g., SR 11-7, OCC guidance)
  • Proven ability to execute complex projects, manage stakeholder expectations, and deliver high-impact results
  • Excellent communication and data storytelling skills with the ability to influence across all levels of the organization
  • Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Economics); Master’s or PhD preferred

Work Location

San Francisco

The above locations are eligible offices for this role. The locations have been determined to foster in-person collaboration with this role’s team or the related business lines. We utilize a hybrid work model, and our teams are in-office Tuesdays, Wednesdays, and Thursdays. In-person attendance is essential for this role’s success, and remote placement will not be considered. Lending Club offers relocation, based on actual job level.

Time Zone Requirements

Primarily PT

While the position will primarily work local hours, Lending Club is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary.

Travel Requirements

As needed travel to Lending Club offices and/or other locations, as needed.

Compensation

The target base salary range for this position is 210,000-245,000. The base salary of the role will be determined by job-related knowledge, experience, education, skills, and location. Base salary is just one part of Lending Club’s Total Rewards package. You may also be eligible for long-term awards (equity) and an annual bonus (which is based on company performance, employee performance and eligible earnings).

We’re creating new financial services solutions for our members based on fairness, simplicity, and heart, and we treat our employees the same way. We offer a competitive benefits package that includes medical, dental and vision plans for employees and their families, 401(k) match, health and wellness programs, flexible time off policies for salaried employees, up to 16 weeks paid parental leave and more.

Lending Club is an equal opportunity employer and dedicated to diversity, equity, and inclusion in the workplace. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), gender, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status, political views or activity, or other applicable legally protected characteristics. We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system.

We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at interviewaccommodationslendingclub.com.

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About LendingClub

LendingClub

Financial services company.

501-1,000

Employees

San Francisco

Headquarters

Reviews

3.5

1 reviews

Work Life Balance

3.0

Compensation

3.0

Culture

2.5

Career

2.0

Management

3.0

25%

Recommend to a Friend

Cons

Company reputation/brand perception issues

Not considered top-tier fintech

Grouped with lower-quality competitors

Salary Ranges

523 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Associate Data Scientist

0 reports

$165,500

total / year

Base

-

Stock

-

Bonus

-

$140,675

$190,325

Interview Experience

1 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Interview Process

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Technical Assessment

5

Panel Interview

6

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

Case Study

Risk Assessment